Studies in Neural Data Science StartUp Research 2017, Siena, Italy, June 25-27 /

This volume presents a collection of peer-reviewed contributions arising from StartUp Research: a stimulating research experience in which twenty-eight early-career researchers collaborated with seven senior international professors in order to develop novel statistical methods for complex brain ima...

Celý popis

Uloženo v:
Podrobná bibliografie
Médium: Elektronický zdroj E-kniha
Jazyk:angličtina
Vydáno: Cham : Springer International Publishing, 2018.
Vydání:1st ed. 2018.
Edice:Springer Proceedings in Mathematics & Statistics, 257
Témata:
Statistics .
Neurosciences.
Biostatistics.
ISBN:9783030000394
ISSN:2194-1009 ;
On-line přístup: Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Obsah:
  • 1 S. Ranciati et al, Understanding Dependency Patterns in Structural and Functional Brain Connectivity through fMRI and DTI Data
  • 2 E. Aliverti et al, Hierarchical Graphical Model for Learning Functional Network Determinants
  • 3 A. Cabassi et al, Three Testing Perspectives on Connectome Data
  • 4 A. Cappozzo et al, An Object Oriented Approach to Multimodal Imaging Data in Neuroscience
  • 5 G. Bertarelli et al, Curve Clustering for Brain Functional Activity and Synchronization
  • 6 F. Gasperoni and A. Luati, Robust Methods for Detecting Spontaneous Activations in fMRI Data
  • 7 A. Caponera et al, Hierarchical Spatio-Temporal Modeling of Resting State fMRI Data
  • 8 M. Guindani and M. Vannucci, Challenges in the Analysis of Neuroscience Data.

Podobné jednotky